Suki

Suki is an AI-powered, voice-enabled digital assistant designed specifically for healthcare professionals to alleviate administrative burdens. Its core value proposition lies in using ambient artificial intelligence to listen to patient-clinician conversations and automatically generate accurate, structured clinical notes, thereby allowing doctors to focus more on patient care and significantly reduce documentation time and burnout.

Key features: The assistant captures natural dialogue during consultations and drafts SOAP notes, progress notes, and other documentation directly within the EHR. It provides real-time coding recommendations for billing accuracy, generates prescription orders via voice command, and answers clinical questions by retrieving information from trusted sources. It also handles tasks like ordering labs and imaging, and can summarize patient records to prepare clinicians for visits.

What sets Suki apart is its deep, seamless integration with major EHR systems like Epic and Cerner, operating as a native layer within the clinician's existing workflow without requiring disruptive screen switching. It employs advanced natural language processing and machine learning models trained specifically on medical terminology and clinician patterns to ensure high accuracy and contextual understanding. The platform is fully HIPAA compliant and prioritizes data security, with continuous learning from user interactions to improve its suggestions and automation over time.

Ideal for physicians, nurse practitioners, and other clinicians across various specialties, including primary care, orthopedics, and cardiology, who are overwhelmed by EHR documentation. It is particularly valuable in high-volume practices, hospitals, and health systems seeking to improve clinician well-being, reduce administrative costs, and enhance the quality of patient encounters by restoring the human element to medicine.

The service operates on a freemium model, with a free tier offering basic voice dictation and note-taking. Paid plans, which include the full suite of ambient listening, coding, and advanced EHR integrations, typically start at an estimated cost of around $60 per user per month, with enterprise pricing available for larger organizations requiring custom deployment and support.